The OPPORTUNITY Dataset for Human Activity Recognition from Wearable, Object, and Ambient Sensors is a dataset devised to benchmark human activity recogni…
classification, multivariate, time-series2. Information database: 2.1. Protocol: 22 male subjects , 11 with different knee abnormalities previously diagnosed by a professional. They undergo thre…
multivariate, time-seriesThe data set is at 10 min for about 4.5 months. The house temperature and humidity conditions were monitored with a ZigBee wireless sensor network. Each w…
multivariate, regression, time-series* Audio track (encoded as mp3) of each of the 106,574 tracks. It is on average 10 millions samples per track.* Nine audio features (consisting of 518 attr…
classification, clustering, multivariate, time-seriesThe dataset is composed by features extracted from 7 videos with people gesticulating, aiming at studying Gesture Phase Segmentation. Each video is repres…
classification, clustering, multivariate, sequential, time-seriesThe characters here were used for a PhD study on primitive extraction using HMM based models. The data consists of 2858 character samples, contained in th…
classification, clustering, time-seriesThe datas time period is between Jan 1st, 2010 to Dec 31st, 2014. Missing data are denoted as NA.
multivariate, regression, time-seriesThe Heterogeneity Dataset for Human Activity Recognition from Smartphone and Smartwatch sensors consists of two datasets devised to investigate sensor het…
classification, clustering, multivariate, time-seriesFor a list of attributes, please refer to those two .names files. They use the following naming convention: All the attribute start with T means the tem…
classification, multivariate, sequential, time-seriesThe Daphnet Freezing of Gait Dataset is a dataset devised to benchmark automatic methods to recognize gait freeze from wearable acceleration sensors plac…
classification, multivariate, time-seriesA chemical detection platform composed of 8 chemo-resistive gas sensors was exposed to turbulent gas mixtures generated naturally in a wind tunnel. The ac…
classification, multivariate, regression, time-seriesData is collected from imkb.gov.tr and finance.yahoo.com. Data is organized with regard to working days in Istanbul Stock Exchange.
classification, multivariate, regression, time-series, univariateThis dataset represents a real-life benchmark in the area of Activity Recognition applications, as described in [1]. The classification tasks consist in…
classification, multivariate, sequential, time-seriesThis loop sensor data was collected for the Glendale on ramp for the 101 North freeway in Los Angeles. It is close enough to the stadium to see unusual t…
multivariate, time-seriesThis is a sparse data set, less than 10% of the attributes are used for each sample. The link is to a '*.tgz' file which contains two files: [amzn-anon-ac…
causal-discovery, clustering, domain-theory, regression, time-seriesThis data set contains time series of greenhouse gas (GHG) concentrations at 2921 grid cells in California created using simulations of the Weather Resear…
multivariate, regression, time-seriesThe data were collected over a series of specifically designed trials. Our hope was to cover most of the types of sensory interactions that a Pioneer migh…
multivariate, time-seriesThis dataset comprises information regarding the ADLs performed by two users on a daily basis in their own homes. This dataset is composed by two instanc…
classification, clustering, multivariate, sequential, time-seriesNumber of instances: 18000 times-series measurements recorded from a 72 metal-oxide gas sensor array-based chemical detection platform. Number of attribu…
classification, multivariate, time-seriesWe have downloaded 15 months worth of daily data from the California Department of Transportation PEMS website, [Web Link], The data describes the occupan…
classification, multivariate, time-series52 columns for 52 weeks; normalised values of provided too.
clustering, multivariate, time-seriesThe donation includes 5 datasets, each of them defining a different learning problem: * LP1: failures in approach to grasp position * LP2: failur…
classification, multivariate, time-seriesThis dataset includes the recordings of five replicates of an 8-sensor array. Each unit holds 8 MOX sensors and integrates custom-designed electronics for…
classification, domain-theory, multivariate, regression, time-seriesThis data set contains 13,910 measurements from 16 chemical sensors exposed to 6 gases at different concentration levels. This dataset is an extension of …
causa, classification, clustering, multivariate, regression, time-seriesBrief Description of the Dataset: --------------------------------- Each of the 19 activities is performed by eight subjects (4 female, 4 male, between th…
classification, clustering, multivariate, time-seriesSequential (time-series) domain. Single-line melodies of 100 Bach chorales (originally 4 voices). The melody line can be studied independently of other …
time-series, univariateThe PAMAP2 Physical Activity Monitoring dataset contains data of 18 different physical activities (such as walking, cycling, playing soccer, etc.), perfor…
classification, multivariate, time-seriesThis data arises from a large study to examine EEG correlates of genetic predisposition to alcoholism. It contains measurements from 64 electrodes placed …
multivariate, time-seriesThe REALDISP (REAListic sensor DISPlacement) dataset has been originally collected to investigate the effects of sensor displacement in the activity recog…
classification, multivariate, time-seriesThe dataset collects data from an Android smartphone positioned in the chest pocket. Accelerometer Data are collected from 22 participants walking in the …
classification, clustering, sequential, time-series, univariateThis is a transnational data set which contains all the transactions occurring between 01/12/2010 and 09/12/2011 for a UK-based and registered non-store o…
classification, clustering, multivariate, sequential, time-seriesThree data sets are submitted, for training and testing. Ground-truth occupancy was obtained from time stamped pictures that were taken every minute. For …
classification, multivariate, time-seriesThis archive contains 2075259 measurements gathered between December 2006 and November 2010 (47 months). Notes: 1.(global_active_power*1000/60 - sub_mete…
clustering, multivariate, regression, time-seriesThe time period is between Jan 1st, 2010 to Dec 31st, 2015. Missing data are denoted as NA.
multivariate, regression, time-series1. Protocol: Three male and one female subjects (age 25 to 30), who have experienced aggression in scenarios such as physical fighting, took part in…
classification, time-seriesThe dataset contains 9358 instances of hourly averaged responses from an array of 5 metal oxide chemical sensors embedded in an Air Quality Chemical Multi…
multivariate, regression, time-seriesAll data is from one continuous EEG measurement with the Emotiv EEG Neuroheadset. The duration of the measurement was 117 seconds. The eye state was detec…
classification, multivariate, sequential, time-seriesThis data set contains the acquired time series from 16 chemical sensors exposed to gas mixtures at varying concentration levels. In particular, we genera…
classification, multivariate, regression, time-seriesThe experiments have been carried out with a group of 115 students of first-year, undergraduate Engineering major of the University of Genoa. We carried…
classification, clustering, multivariate, regression, sequential, time-seriesThe MHEALTH (Mobile HEALTH) dataset comprises body motion and vital signs recordings for ten volunteers of diverse profile while performing several physic…
classification, multivariate, time-seriesData set has no missing values. Values are in kW of each 15 min. To convert values in kWh values must be divided by 4. Each column represent one client. S…
clustering, regression, time-seriesThis dataset is an addition to the dataset at [Web Link] We collected more dataset to improve the accuracy of our HAR algorithms applied in …
classification, time-seriesDataset from 8800(10 digits x 10 repetitions x 88 speakers) time series of 13 Frequency Cepstral Coefficients (MFCCs) had taken from 44 males and 44 femal…
classification, multivariate, time-seriesData was captured using a setup that consisted of: - Two Fifth Dimension Technologies (5DT) gloves, one right and one left - Two Ascension Flock-of-Bir…
classification, multivariate, time-seriesUncompressing the archive url_svmlight.tar.gz will yield a directory url_svmlight/ containing the following files: * FeatureTypes --- A text file list…
classification, multivariate, time-seriesThis dataset contains 600 examples of control charts synthetically generated by the process in Alcock and Manolopoulos (1999). There are six different cla…
classification, clustering, time-seriesThe source of the data is the raw measurements from a Nintendo PowerGlove. It was interfaced through a PowerGlove Serial Interface to a Silicon Graphics 4…
classification, multivariate, time-seriesThe Dataset for ADL Recognition with Wrist-worn Accelerometer is a public collection of labelled accelerometer data recordings to be used for the creation…
classification, clustering, multivariate, time-seriesThe measurements were created to ease the development, comparison and evaluation of fingerprinting based hybrid indoor positioning methods. The measuremen…
classification, multivariate, sequential, time-seriesIndoor localization is a key topic for mobile computing. However, it is still very difficult for the mobile sensing community to compare state-of-art Indo…
classification, clustering, multivariate, regression, sequential, time-seriesIndoor localisation is a key topic for the Ambient Intelligence (AmI) research community. In this scenarios, recent advancements in wearable technologie…
classification, clustering, multivariate, regression, sequential, time-seriesThis data set is designed for testing indexing schemes in time series databases. It is a much larger dataset than has been used in any published study (Th…
time-series, univariateIn predicting stock prices you collect data over some period of time - day, week, month, etc. But you cannot take advantage of data from a time period unt…
classification, clustering, time-seriesDiabetes patient records were obtained from two sources: an automatic electronic recording device and paper records. The automatic device had an interna…
multivariate, time-seriesInstrumentation: The data were collected at a sampling rate of 500 Hz, using as a programming kernel the National Instruments (NI) Labview. The signals we…
classification, time-seriesThe data was collected for examining our newly developed classifier for multidimensional curves (multidimensional time series). Nine male speakers uttered…
classification, multivariate, time-series--- The dataset collects data from a wearable accelerometer mounted on the chest --- Sampling frequency of the accelerometer: 52 Hz --- Accelerom…
classification, clustering, sequential, time-series, univariateThe experiments were carried out with a group of 30 volunteers within an age bracket of 19-48 years. They performed a protocol of activities composed of s…
classification, multivariate, time-seriesFor complete information see the official challenge page: [Web Link]
causal-discovery, clustering, domain-theory, multivariate, sequential, time-seriesPeople used for recording of the data were wearing four tags (ankle left, ankle right, belt and chest). Each instance is a localization data for one of t…
classification, sequential, time-series, univariate1. Protocol: Seven male and three female subjects (age 25 to 30), who have experienced aggression in scenarios such as physical fighting, took part …
classification, time-seriesPlease find the original data at '[Web Link]'
classification, clustering, multivariate, time-seriesThe experiments have been carried out with a group of 30 volunteers within an age bracket of 19-48 years. Each person performed six activities (WALKING, W…
classification, clustering, multivariate, time-seriesThis dataset represents a real-life benchmark in the area of Ambient Assisted Living applications, as described in [1]. The binary classification task con…
classification, multivariate, sequential, time-seriesOpen University Learning Analytics Dataset (OULAD) contains data about courses, students and their interactions with Virtual Learning Environment (VLE) fo…
classification, clustering, multivariate, regression, sequential, time-series1. Title of Database: Machine Learning based ZZAlpha Stock Recommendations 2. Sources: (a) Original owners of data: ZZAlpha Ltd., 4729 E. Sunrise #109,…
classification, sequential, time-seriesThe dataset could contain missing values. The data was sampled every minute, computing and uploading it smoothed with 15 minute means. The header of the d…
multivariate, regression, sequential, text, time-seriesThe data can be used to try to predict student learning in SE teamwork based on observation of their team activity **** README FILE from the submitted d…
classification, sequential, time-seriesThe measured data was collected using a chemical sensing system based on an array of 16 metal-oxide gas sensors and an external mechanical ventilator to s…
classification, multivariate, regression, time-seriesThis dataset has recordings of a gas sensor array composed of 8 MOX gas sensors, and a temperature and humidity sensor. This sensor array was exposed to b…
classification, multivariate, time-seriesObservations come from 2 data streams (people flow in and out of the building), over 15 weeks, 48 time slices per day (half hour count aggregates). The…
multivariate, time-series